View allAll Photos Tagged Visualization
If you look deep in to the image, you can visualize alot of funny stuff from this image...give it a try! :)
What you see from distance in the image is a sand bank with small trees which is eventually going to be an island.
I just started an excellent online class via Coursera titled Exploring Neural Data Exploring Neural Data that started 29 September 2014. Monica Linden and David Sheinberg of Brown University are teaching this class. Our first assignment was to detect spikes (action potentials) in a few seconds of recorded data from a neuron. The assignment was to modify some Python code to plot the data, and then detect and plot the spike activity, and plot all the detected spikes. This plot shows voltage versus time, there are about 88,000 samples in this data. To figure out the "spikes", a threshold is applied (in voltage and time) to separate the spike from the noise. The red lines were drawn for every spike detected.
It was very satisfying to work with this data, and to learn a bit more about neuroscience (and Python). We are using the Spyder environment, which is quite a nice development environment. This assignment took me a little longer than I thought it would (finished about 530 am Sunday morning).
I was astounded by Bill Rankin's map of Chicago's racial and ethnic divides and wanted to see what other cities looked like mapped the same way. To match his map, Red is White, Blue is Black, Green is Asian, Orange is Hispanic, Gray is Other, and each dot is 25 people. Data from Census 2000. Base map © OpenStreetMap, CC-BY-SA
The last four years of my data from Facebook: gadgetwise.blogs.nytimes.com/2010/10/06/facebook-now-lets...
Visualized with GrandPerspective: grandperspectiv.sourceforge.net/
Maps of racial and ethnic divisions in US cities, inspired by Bill Rankin's map of Chicago, updated for Census 2010.
Red is White, Blue is Black, Green is Asian, Orange is Hispanic, Yellow is Other, and each dot is 25 residents.
Data from Census 2010. Base map © OpenStreetMap, CC-BY-SA
Maps of racial and ethnic divisions in US cities, inspired by Bill Rankin's map of Chicago, updated for Census 2010.
Red is White, Blue is Black, Green is Asian, Orange is Hispanic, Yellow is Other, and each dot is 25 residents.
Data from Census 2010. Base map © OpenStreetMap, CC-BY-SA
Part of a 5 house visualization project for ARCHIPOD.
Furniture models in this image are part of the model supplied in the latest 3dallusions - Charette#15 - Quinta House
Maps of racial and ethnic divisions in US cities, inspired by Bill Rankin's map of Chicago, updated for Census 2010.
Red is White, Blue is Black, Green is Asian, Orange is Hispanic, Yellow is Other, and each dot is 25 residents.
Data from Census 2010. Base map © OpenStreetMap, CC-BY-SA
Maps of racial and ethnic divisions in US cities, inspired by Bill Rankin's map of Chicago, updated for Census 2010.
Red is White, Blue is Black, Green is Asian, Orange is Hispanic, Yellow is Other, and each dot is 25 residents.
Data from Census 2010. Base map © OpenStreetMap, CC-BY-SA
Maps of racial and ethnic divisions in US cities, inspired by Bill Rankin's map of Chicago, updated for Census 2010.
Red is White, Blue is Black, Green is Asian, Orange is Hispanic, Yellow is Other, and each dot is 25 residents.
Data from Census 2010. Base map © OpenStreetMap, CC-BY-SA
I was astounded by Bill Rankin's map of Chicago's racial and ethnic divides and wanted to see what other cities looked like mapped the same way. To match his map, Red is White, Blue is Black, Green is Asian, Orange is Hispanic, Gray is Other, and each dot is 25 people. Data from Census 2000. Base map © OpenStreetMap, CC-BY-SA
I stopped into the neighborhood butcher on my way home to pick up some ground meet for the freezer and was, as always, amused by the quirky atmosphere of the place and the excellent, friendly service of the outgoing staff who always have some friendly things to say. The staff are clearly selected with personality in mind as well as butcher skills.
This man caught my eye and upon leaving the shop I asked myself why I hadn’t asked to take his photo. I even visualized how I would pose him, leaning on the counter where I had been served just a couple of minutes beforehand. So, I circled back and locked my bicycle back up at the curb, entering the shop with my introduction on the tip of my tongue. Problem: he wasn’t there. He must have gone on a brief break. I pretended to be checking out something in a cabinet in the rear of the shop as if I had forgotten something, then exited.
I was caught in a bind at this point, knowing that if I went home without giving it a try I would feel disappointed, but also realizing I could only go in so many times without raising suspicion that I was casing the joint for a holdup. I walked up the street for a couple of minutes, then circled back and could see through the window that he had returned to the counter.
I went in and told him I’d had an afterthought upon leaving and wished I’d asked to photograph him for my project because I thought he would make an excellent subject for an informal environmental portrait. He knew of Flickr and said “I don’t mind. Go ahead.” Meet Zack.
I told him of my idea of having him lean on the counter and asked if he could move to the front of the shop where there was more light from the window and simply look into my lens. Click, click, click. I took three photos and could see that customers were coming in so I thanked him and asked his name and if he had been working there long. “Since the beginning” he said with a smile. “What’s your favorite thing about working here?” I asked. He gave a thoughtful pause and said “It’s the people. This is a great neighborhood and I love meeting the people every day.” Good answer. It is a fantastic neighborhood and the people are nice.
Zack took my contact card but declined my offer to send a photo. Thank you Zack for participating in 100 Strangers. You are now Stranger #474 in Round 5 of my project. I’ll see you next time I’m shopping for meat.
If anyone reading about Zack is looking to buy meat in the Riverdale neighborhood of Toronto, I would recommend The Meat Dept. on Danforth. They are upbeat, outgoing, and sell high quality meat. (themeatdept.wordpress.com/)
Find out more about the project and see pictures taken by other photographers at the 100 Strangers Flickr Group page
To browse Round 1 of my 100 Strangers project click here: www.flickr.com/photos/jeffcbowen/sets/72157633145986224/
To browse Round 2 of my 100 Strangers project click here:
www.flickr.com/photos/jeffcbowen/sets/72157634422850489/
To browse Round 3 of my 100 Strangers project click here: www.flickr.com/photos/jeffcbowen/sets/72157635541434065/
To browse Round 4 of my 100 Strangers project click here:
Sidebar on GSFC production from Digital Content Producer
(Sept, 2007)
digitalcontentproducer.com/hdhdv/depth/video_horizon/inde...
Visual Science Storytelling
Wade Sisler is the executive television producer at Goddard Space Flight Center in Maryland, and he has also worked at NASA HQ and the Ames Research Center in California. Trained in journalism at Baylor University and Scientific and Technical Still Photography at the Rochester Institute of Technology, he began working at NASA Ames in the mid ‘80s while finishing up his degree at RIT, and he says he never looked back. These days, Sisler is heavily involved in what he calls “Visual Science Storytelling.”
Sisler and other NASA Center employees around the nation use the discipline of television and video graphics to tell the story of projects, research, and missions created and managed by their particular center. The video, animation, and multimedia products they produce are for a variety of audiences both public and internally within the agency, and some of this content is also broadcast on NASA TV.
DCP: What brought you to NASA, and can you tell me a little about the background of video production at Goddard?
Sisler: For me, NASA was a great place because every time you turned over a rock, a mind-blowing story and often wonderful visual opportunity would crawl out. I liked that there were many new challenges and that many of the things I was to document had never been captured before. By the late ‘80s, I was dabbling in emerging multimedia, digital photography, and video, and while I hated the quality of the video image, I loved being able to go deeper into a story. Eventually, painfully, I made the shift to video and television just as the tools became affordable to small groups like the one we had at Ames. We felt lucky to be shooting on 3/4in. tape and were thrilled to eventually upgrade to Beta and then BetacamSP.
I transferred to NASA HQ in 1994 and then came to Goddard in 1997. At HQ, I worked on the IMAX films Mission to Mir and [Space Station 3D], and I also worked on projects with NASA TV.
How is Goddard different when it comes to the kinds of things you document with video?
When I came to Goddard, I found my true niche in scientific storytelling. Working here is a curious person's dream come true. The 9,000-plus scientists and engineers are literally changing the way humans see the universe and changing world we live in. NASA science provides insights into some of the most pressing problems and biggest questions of the day. Communicating the results of our missions is now woven into the DNA of our agency, and I think our team feels lucky to be working with an organization so passionate about sharing their story with the widest possible audience.
What are the main aspects of what you do?
There are really four main areas of challenge:
Visual science storytelling — translating complex stories with pictures, sound, and video
Creating or capturing absolutely compelling core content
Making that content widely available in multiple formats and multiple distribution channels
Doing all of the above very efficiently.
You've seen a lot of changes in the visual tools you use.
Sure. These days, the quality of the image is not an issue, of course. We now have end-to-end HD and shoot on Panasonic P2 and Varicam. A great deal of our work these days involves working with and directing animation and data visualization. Most of our important images are no longer shot with cameras, but are captured by satellites or are rendered in our visualizers' minds.
Interesting. And how do you share that content?
The biggest challenge we see is the fragmentation of the production/media world. We consider our customers to be a continuous spectrum of traditional print and broadcast media, web media portals, educators and students, museums, scientists, stakeholders — and, of course, the general public. The user community is fragmenting as the new media world carves up distribution channels into narrower and narrower slices. This fragmentation means that there are many more users creating many more products with our core content.
Can you describe the process of distribution?
Let's say we're producing material to illustrate the NASA mission objectives of a new kind of climate-observing satellite. Our work plan would usually call for creation of an animation illustrating the satellite at work. We would show it in action and illustrate how it works. We might also create contextual animation to help folks visualize the science behind the mission. Our producer will make sure to capture a few signature sequences that define a project.
These days, momentum has shifted to creating two- to three-minute reporter packages that can be used on places like NASA TV, web portals, and distributed via iTunes. The second part of our strategy is actively producing resource collections, which can be obtained via our fulfillment house or, increasingly, directly via online download.
Has HD and Internet streaming made inroads at Goddard?
HD has more than made inroads. Everything is HD. Even satellites are beginning to deliver HD. We've been shooting almost all HD for the past two years. It has been a little reach, but because we have such a high rate of reusing previous footage, it's been worth it. When the Solar Dynamics Observatory is launched next year, it will be sending down an HD image of the sun every second. Here comes the sun! We'll see all of the incoming space weather as never before. As far as web streaming goes, the new NASA portal will stream content and allow users to pull it down on demand. To get the uncompressed satellite footage and animations, producers will still need to go to the home centers like Goddard and JPL.
Can you tell me anything about Goddard’s work with stereo video?
We are working stereo video, but not with traditional cameras, for the most part. We do some work with the stereo pair of solar observatories. They produce essentially right-left eye images and we conducted our first press conference using the 3D images last April.
When NASA TV wants/needs programming from Goddard, is the footage sent via the WAN or via tape or hard drive, or another way?
We can send it via the WAN or directly via fiber. Goddard, like HQ and some of the other centers, is very connected to the various backbones. We conduct interviews with the networks and cable news outlet directly via the Bell Atlantic AVOC [a dedicated satellite two-way feed].
What can you tell me about the Scientific Visualization Studio at NASA’s Goddard Space Flight Center?
The Scientific Visualization Studio [SVS] turns raw satellite data into images. But this is much more than translating numbers to pixels. Frequently, these folks combine data from many satellites and sensors into a single comprehensive story. The mission of the SVS is to facilitate scientific inquiry and outreach within NASA programs through visualization. All the visualizations created by the SVS [currently totaling more than 2,700] are accessible to everyone through the website. More recent animations are provided as MPEG-1s and MPEG-2s. Some animations are available in high definition as well as standard NTSC format. Where possible, the original digital images used to make these animations have also been made accessible. Lastly, high- and low-resolution stills, created from the visualizations, are included, with previews for selective downloading [see svs.gsfc.nasa.gov].
Eric de Jong at NASA’s Jet Propulsion Lab is probably the unofficial leader on 3D within the agency. He has done quite a bit of 3D camera data viz work. Visit him at science.jpl.nasa.gov/people/deJong.
If there was one thing you’d like to share about digital multimedia content creation at Goddard, what would it be?
Our goal, and our mini slogan: One message, in many formats, through many channels, for many users!
—T.P.M
Maps of racial and ethnic divisions in US cities, inspired by Bill Rankin's map of Chicago, updated for Census 2010.
Red is White, Blue is Black, Green is Asian, Orange is Hispanic, Yellow is Other, and each dot is 25 residents.
Data from Census 2010. Base map © OpenStreetMap, CC-BY-SA
I was astounded by Bill Rankin's map of Chicago's racial and ethnic divides and wanted to see what other cities looked like mapped the same way. To match his map, Red is White, Blue is Black, Green is Asian, Orange is Hispanic, Gray is Other, and each dot is 25 people. Data from Census 2000. Base map © OpenStreetMap, CC-BY-SA
Maps of racial and ethnic divisions in US cities, inspired by Bill Rankin's map of Chicago, updated for Census 2010.
Red is White, Blue is Black, Green is Asian, Orange is Hispanic, Yellow is Other, and each dot is 25 residents.
Data from Census 2010. Base map © OpenStreetMap, CC-BY-SA
Maps of racial and ethnic divisions in US cities, inspired by Bill Rankin's map of Chicago, updated for Census 2010.
Red is White, Blue is Black, Green is Asian, Orange is Hispanic, Yellow is Other, and each dot is 25 residents.
Data from Census 2010. Base map © OpenStreetMap, CC-BY-SA
Maps of racial and ethnic divisions in US cities, inspired by Bill Rankin's map of Chicago, updated for Census 2010.
Red is White, Blue is Black, Green is Asian, Orange is Hispanic, Yellow is Other, and each dot is 25 residents.
Data from Census 2010. Base map © OpenStreetMap, CC-BY-SA
I was astounded by Bill Rankin's map of Chicago's racial and ethnic divides and wanted to see what other cities looked like mapped the same way. To match his map, Red is White, Blue is Black, Green is Asian, Orange is Hispanic, Gray is Other, and each dot is 25 people. Data from Census 2000. Base map © OpenStreetMap, CC-BY-SA
Maps of racial and ethnic divisions in US cities, inspired by Bill Rankin's map of Chicago, updated for Census 2010.
Red is White, Blue is Black, Green is Asian, Orange is Hispanic, Yellow is Other, and each dot is 25 residents.
Data from Census 2010. Base map © OpenStreetMap, CC-BY-SA
I can't see
I can't walk alone
I lack some physical skills
But, I won't knee to blindess
I won't be completely depedent on the others
I won't stay without any work
I have the heart to visualize the feelings
I have the mind to comprehend the life
I have the soul to be a free human
[Abraaj. January 2007]
---------------------------------------------
Series of Kuwait's portraits (winter 06-2007)
I saw this blind old man at Al-Mubarakiah Market in Kuwait City
Canon EF 70-200mm f/2.8L
editing: RAW processing and Photoshop editing
Try to visualize a beautiful woman. Give it some seconds serious consideration. I shall wait patiently as long...
Now the woman you picture in you head, not only has form and shape, she most likely even have mannerisms and perhaps are wearing clothes. If so we can even with wisdom assume that the clothes she is wearing is consistent with, and thus reflect, the person she is and here is my point. She is to the mental effect almost a person, as your imagination is a VERY powerfull tool. - Mind you not even the Tihane-2 (The Chinese supercomputer) would be able to create in memory what you just did in seconds. (Further more, the Tihane-2 would probably answer that beauty is subjective and continue in long explanations to explain the beauty of binary simplicity, but be quite indifferent as in regard to the beauty of women.)
In your head, from the quest was launched, you started drawing upon your feminine resources of data in your eyes putting together a pretty much ”perfect” women ;o) But make no mistake, in a way she is VERY real, as she is created only and alone from YOUR subconscious imaginative spectrum of what a ”beautiful women” consist of. Those perceptions are not only VERY real, to you it is the whole world and thus, the very definition of beauty.
If you are a crossdresser, transvestite or transexual, you know very well what powers are to be drawn from within that imaginative spectrum, but make no mistake. When ordinary macho heterosexual men watch Expendables 1 (Macho hetero classic - 5 stars from my male side, Lisa says ”No comment!” shaking her head) they very much identify them self, with being amongst such group of battle scarred veterans, knowing each others weaknesses and strengths, using them in unison, like a team, working like clockwork and on backbone alone beating odds no sane person would bet a single dime on.
Women as well have their own visual identification spectrum and I stand accused making following statement without statistic documentation, but I have notion practically all women at some time, have imagined them self walking into a crowded room drawing all attention, dazzling everyone with the mere presence of their radiant beauty. But again, I might be mistaken and women not only may, but trust me will rightfully claim ”What the hell do I REALLY know about women.” and it is in fact quite true.
Never the less there is still much to be obtained from within, the almost magical imaginative spectrum.
You see, something happens to macho heterosexual men, watching not ONLY Expendables 1, but every film made in modern times that has to do with war, fighting, death, violence and murder (several times). Slowly, we find, such identification change such individuals. The same thing happens to T-girls who spend much time in the imaginative female spectrum, they change slowly, becoming more like that in reality as well, changing slowly.
Thus watching many movies on war identifying with being a vengeful warmachine, might actually in a stressfull situation, combined with a life crisis, trigger the hidden imaginative being nurtured by such imagination, making that person pick up a riffle going into warmode showing the world a thing or two. Where as a T-girl in same stressfull life crisis, very well might say ”Fuck it all.” pick up a pair of stilettos and wearing a tight skirt ”showing” (though in a more practical sense) the world a thing or two as well.
I was astounded by Bill Rankin's map of Chicago's racial and ethnic divides and wanted to see what other cities looked like mapped the same way. To match his map, Red is White, Blue is Black, Green is Asian, Orange is Hispanic, Gray is Other, and each dot is 25 people. Data from Census 2000. Base map © OpenStreetMap, CC-BY-SA
Maps of racial and ethnic divisions in US cities, inspired by Bill Rankin's map of Chicago, updated for Census 2010.
Red is White, Blue is Black, Green is Asian, Orange is Hispanic, Yellow is Other, and each dot is 25 residents.
Data from Census 2010. Base map © OpenStreetMap, CC-BY-SA
CGI exterior visualization: good fairy by day and wicked witch by night??? Perhaps it is just Photoshop ;)
Freestyle. Center is a pysanky design found in Zenon Elyjiw's Sixty Score of Easter Eggs: A Comprehensive Album of Ukrainian Easter Eggs. Love that book. Around the egg are my doodles, which turned out to look vaguely pea-pod-ish. This piece is completely covered with stitches and is roughly the size of the palm of my hand.
Visualization is the key to many things, including photography. In this case, visualizing a great performance, from the gun to the end of the track and over all the hurdles in between, 100M away.
Try to visualize a beautiful woman. Give it some seconds serious consideration. I shall wait patiently as long...
Now the woman you picture in you head, not only has form and shape, she most likely even have mannerisms and perhaps are wearing clothes. If so we can even with wisdom assume that the clothes she is wearing is consistent with, and thus reflect, the person she is and here is my point. She is to the mental effect almost a person, as your imagination is a VERY powerfull tool. - Mind you not even the Tihane-2 (The Chinese supercomputer) would be able to create in memory what you just did in seconds. (Further more, the Tihane-2 would probably answer that beauty is subjective and continue in long explanations to explain the beauty of binary simplicity, but be quite indifferent as in regard to the beauty of women.)
In your head, from the quest was launched, you started drawing upon your feminine resources of data in your eyes putting together a pretty much ”perfect” women ;o) But make no mistake, in a way she is VERY real, as she is created only and alone from YOUR subconscious imaginative spectrum of what a ”beautiful women” consist of. Those perceptions are not only VERY real, to you it is the whole world and thus, the very definition of beauty.
If you are a crossdresser, transvestite or transexual, you know very well what powers are to be drawn from within that imaginative spectrum, but make no mistake. When ordinary macho heterosexual men watch Expendables 1 (Macho hetero classic - 5 stars from my male side, Lisa says ”No comment!” shaking her head) they very much identify them self, with being amongst such group of battle scarred veterans, knowing each others weaknesses and strengths, using them in unison, like a team, working like clockwork and on backbone alone beating odds no sane person would bet a single dime on.
Women as well have their own visual identification spectrum and I stand accused making following statement without statistic documentation, but I have notion practically all women at some time, have imagined them self walking into a crowded room drawing all attention, dazzling everyone with the mere presence of their radiant beauty. But again, I might be mistaken and women not only may, but trust me will rightfully claim ”What the hell do I REALLY know about women.” and it is in fact quite true.
Never the less there is still much to be obtained from within, the almost magical imaginative spectrum.
You see, something happens to macho heterosexual men, watching not ONLY Expendables 1, but every film made in modern times that has to do with war, fighting, death, violence and murder (several times). Slowly, we find, such identification change such individuals. The same thing happens to T-girls who spend much time in the imaginative female spectrum, they change slowly, becoming more like that in reality as well, changing slowly.
Thus watching many movies on war identifying with being a vengeful warmachine, might actually in a stressfull situation, combined with a life crisis, trigger the hidden imaginative being nurtured by such imagination, making that person pick up a riffle going into warmode showing the world a thing or two. Where as a T-girl in same stressfull life crisis, very well might say ”Fuck it all.” pick up a pair of stilettos and wearing a tight skirt ”showing” (though in a more practical sense) the world a thing or two as well.
Maps of racial and ethnic divisions in US cities, inspired by Bill Rankin's map of Chicago, updated for Census 2010.
Red is White, Blue is Black, Green is Asian, Orange is Hispanic, Yellow is Other, and each dot is 25 residents.
Data from Census 2010. Base map © OpenStreetMap, CC-BY-SA
Maps of racial and ethnic divisions in US cities, inspired by Bill Rankin's map of Chicago, updated for Census 2010.
Red is White, Blue is Black, Green is Asian, Orange is Hispanic, Yellow is Other, and each dot is 25 residents.
Data from Census 2010. Base map © OpenStreetMap, CC-BY-SA
Try to visualize a beautiful woman. Give it some seconds serious consideration. I shall wait patiently as long...
Now the woman you picture in you head, not only has form and shape, she most likely even have mannerisms and perhaps are wearing clothes. If so we can even with wisdom assume that the clothes she is wearing is consistent with, and thus reflect, the person she is and here is my point. She is to the mental effect almost a person, as your imagination is a VERY powerfull tool. - Mind you not even the Tihane-2 (The Chinese supercomputer) would be able to create in memory what you just did in seconds. (Further more, the Tihane-2 would probably answer that beauty is subjective and continue in long explanations to explain the beauty of binary simplicity, but be quite indifferent as in regard to the beauty of women.)
In your head, from the quest was launched, you started drawing upon your feminine resources of data in your eyes putting together a pretty much ”perfect” women ;o) But make no mistake, in a way she is VERY real, as she is created only and alone from YOUR subconscious imaginative spectrum of what a ”beautiful women” consist of. Those perceptions are not only VERY real, to you it is the whole world and thus, the very definition of beauty.
If you are a crossdresser, transvestite or transexual, you know very well what powers are to be drawn from within that imaginative spectrum, but make no mistake. When ordinary macho heterosexual men watch Expendables 1 (Macho hetero classic - 5 stars from my male side, Lisa says ”No comment!” shaking her head) they very much identify them self, with being amongst such group of battle scarred veterans, knowing each others weaknesses and strengths, using them in unison, like a team, working like clockwork and on backbone alone beating odds no sane person would bet a single dime on.
Women as well have their own visual identification spectrum and I stand accused making following statement without statistic documentation, but I have notion practically all women at some time, have imagined them self walking into a crowded room drawing all attention, dazzling everyone with the mere presence of their radiant beauty. But again, I might be mistaken and women not only may, but trust me will rightfully claim ”What the hell do I REALLY know about women.” and it is in fact quite true.
Never the less there is still much to be obtained from within, the almost magical imaginative spectrum.
You see, something happens to macho heterosexual men, watching not ONLY Expendables 1, but every film made in modern times that has to do with war, fighting, death, violence and murder (several times). Slowly, we find, such identification change such individuals. The same thing happens to T-girls who spend much time in the imaginative female spectrum, they change slowly, becoming more like that in reality as well, changing slowly.
Thus watching many movies on war identifying with being a vengeful warmachine, might actually in a stressfull situation, combined with a life crisis, trigger the hidden imaginative being nurtured by such imagination, making that person pick up a riffle going into warmode showing the world a thing or two. Where as a T-girl in same stressfull life crisis, very well might say ”Fuck it all.” pick up a pair of stilettos and wearing a tight skirt ”showing” (though in a more practical sense) the world a thing or two as well.